Heterogeneous systems | Page 39

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Understanding the Impact of Hybrid Programming on Software Energy Efficiency

Donna LaKomski

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Tags: Computer science, CUDA, Heterogeneous systems, Hybrid computing, Intel Xeon Phi, nVidia, OpenCL, Tesla K20, Thesis

September 3, 2016 by hgpu

Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API

Suyang Zhu, Sunita Chandrasekaran, Peng Sun, Barbara Chapman, Marcus Winter, Tobias Schuele

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Jetson TK1

August 28, 2016 by hgpu

MetaMorph: A Library Framework for Interoperable Kernels on Multi- and Many-core Clusters

Ahmed E. Helal, Paul Sathre, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Fluid dynamics, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, performance portability, Tesla K20

August 23, 2016 by hgpu

Streaming Applications on Heterogeneous Platforms

Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang

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Tags: Benchmarking, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, Performance, Tesla K80

August 18, 2016 by hgpu

SkePU 2: Language Embedding and Compiler Support for Flexible and Type-Safe Skeleton Programming

August Ernstsson

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, OpenMP, Programming techniques, Tesla K20, Thesis

August 18, 2016 by hgpu

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

Jung-Hyun Hong, Joo-Yul Park, Ki-Seok Chung

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Tags: Computer science, Error recovery, Heterogeneous systems, nVidia, nVidia GeForce GTX 860 M, OpenCL

August 11, 2016 by hgpu

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David Kaeli

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Tags: Algorithms, ATI, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

August 8, 2016 by hgpu

Automatic Loop Partitioning for Heterogeneous Systems

Alexander Baier

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan Black, Performance, PTX, Thesis

August 1, 2016 by hgpu

Unified system of code transformation and execution for heterogeneous multi-core architectures

Pei Li

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Quadro FX 5800, OpenCL, Thesis

August 1, 2016 by hgpu

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

Xavier Saez Pous

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Tags: ARM, Computational Physics, Computer science, Heterogeneous systems, MPI, OpenCL, Particle-in-cell methods, Plasma physics, Thesis

July 30, 2016 by hgpu

FPGA-Based Accelerator Design from a Domain-Specific Language

M. Akif Ozkan, Oliver Reiche, Frank Hannig, Jurgen Teich

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Tags: Algorithms, Computer vision, FPGA, Heterogeneous systems, Image processing, nVidia, nVidia Jetson TK1, OpenCL, Tesla K20

July 26, 2016 by hgpu

GPU-accelleration of image rendering and sorting algorithms with the OpenCL framework

Anders Soderholm, Justus Sorman

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Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Intel HD 4600, OpenCL, Rendering, Sorting, Thesis

July 26, 2016 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Understanding the Impact of Hybrid Programming on Software Energy Efficiency

Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API

MetaMorph: A Library Framework for Interoperable Kernels on Multi- and Many-core Clusters

Streaming Applications on Heterogeneous Platforms

SkePU 2: Language Embedding and Compiler Support for Flexible and Type-Safe Skeleton Programming

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

Automatic Loop Partitioning for Heterogeneous Systems

Unified system of code transformation and execution for heterogeneous multi-core architectures

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

FPGA-Based Accelerator Design from a Domain-Specific Language

GPU-accelleration of image rendering and sorting algorithms with the OpenCL framework

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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